Hackathon

This code is a preprocessing pipeline for preparing data before applying machine learning models. Here is a detailed breakdown: Importing necessary libraries: StandardScaler and OneHotEncoder for scaling numerical data and encoding categorical data, respectively. ColumnTransformer to apply different preprocessing steps to different columns. Pipeline to chain multiple preprocessing steps together. SimpleImputer to handle missing values. Identifying numerical and categorical columns: numerical_cols identifies all numerical columns in train_df (excluding the target column attack). categorical_cols identifies all categorical columns in train_df.